{"id":"W3158225229","doi":"10.1016/j.ahj.2021.04.006","title":"Effects of the PCSK9 antibody alirocumab on coronary atherosclerosis in patients with acute myocardial infarction: a serial, multivessel, intravascular ultrasound, near-infrared spectroscopy and optical coherence tomography imaging study–Rationale and design of the PACMAN-AMI trial","year":2021,"lang":"en","type":"article","venue":"American Heart Journal","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Schweizerische Herzstiftung; Daiichi-Sankyo; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; InfraRedx; Inselspital, Universitätsspital Bern; Novartis; Regeneron Pharmaceuticals; Sanofi; Meso Scale Diagnostics","keywords":"Medicine; Alirocumab; Optical coherence tomography; Intravascular ultrasound; PCSK9; Myocardial infarction; Cardiology; Internal medicine; Ultrasound; Radiology; Cholesterol; Total cholesterol; Lipoprotein","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002096363,0.0001452924,0.0003932388,0.00005846042,0.0001767428,0.00005069761,0.00007086444,0.00002433795,0.00001652633],"category_scores_gemma":[0.000279739,0.00009014662,0.0001369411,0.0003776013,0.0005512838,0.00008979878,0.00005555979,0.0002812759,1.882032e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000385985,"about_ca_system_score_gemma":0.0001848002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005806799,"about_ca_topic_score_gemma":0.000008245145,"domain_scores_codex":[0.9984555,0.0004306315,0.0003381209,0.0001985574,0.0004163222,0.000160894],"domain_scores_gemma":[0.99876,0.0005716295,0.0001923439,0.0002123128,0.0001835289,0.00008020468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005826957,0.001407925,0.9737551,0.00001807532,0.0003716222,0.00001664173,0.0005694747,0.00004584501,0.01739083,0.000005223714,0.00005121654,0.0005410655],"study_design_scores_gemma":[0.01723272,0.005051231,0.9729532,0.0003388505,0.000338789,0.000150468,0.0007210718,0.00004078278,0.003053706,0.00001882342,0.0000120306,0.00008832137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979861,0.0001143936,0.0003216593,0.0002084938,0.0001785401,0.001165628,0.00001429413,0.000004314837,0.000006531003],"genre_scores_gemma":[0.9979044,0.000113262,0.001729351,0.0001507201,0.0000578582,0.00002303372,0.000003673384,0.00001337644,0.000004278315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01433712,"threshold_uncertainty_score":0.3676072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008381734149842276,"score_gpt":0.2673979403539761,"score_spread":0.2590162062041338,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}